Keyphrases
2-approximation
22%
Amplitude Functions
5%
Analysis of Variance Test
11%
Approximation Ratio
11%
Asymptotic null Distribution
22%
Asymptotic Properties
14%
Asymptotic Results
5%
B-spline
11%
Being Ignored
5%
Binary Segmentation
5%
Cardiovascular Disease
5%
Chi-squared Approximation
11%
Chi-squared-type Mixture
11%
China
5%
Cholesky Decomposition Method
9%
Classical Times
5%
Climate Change
5%
Computational Efficiency
11%
Computationally Efficient
11%
Consistent Parameters
11%
Covariance Function
22%
Covariate Effect
45%
Cross-sectional Data Analysis
9%
Decomposition Model
5%
Effect Function
5%
Effect Mechanism
5%
Eigenvalues
11%
Ensemble Methods
9%
Error Distribution
9%
Estimation Function
9%
Estimation Method
5%
Fast Prediction
9%
Finite Sample Performance
5%
Function Matrix
22%
Functional Covariates
5%
Functional Data
68%
Functional Time Series
45%
Global Test
45%
Global Warming
5%
Health Data
22%
Heavy-tailed Errors
9%
Heteroscedastic
45%
Heteroscedasticity
11%
Hong Kong
5%
Hospital Admission
5%
Human Microbiome
9%
Local Alternatives
22%
Longitudinal Correlation
9%
Longitudinal Data
9%
Longitudinal Response
45%
Mean Function
22%
Model Averaging
45%
Model Selection
9%
Modified Cholesky Decomposition
9%
Multiple Means
11%
Multivariate Analysis of Variance
90%
Multivariate Functional Data
68%
Non-stationary Time Series
45%
Null Distribution
11%
Numerical Performance
11%
Parameter Estimation
11%
Penalized Least Squares Method
5%
Performance Prediction
9%
Period Change
5%
Periodic Component
17%
Periodic Sequence
17%
Periodic Structures
45%
Periodic Term
5%
Periodicity Effect
5%
Permutation-based
11%
Potential Outliers
9%
Prediction Accuracy
9%
Rank-based Estimation
9%
Respiratory Disease
5%
Robust Prediction
9%
Root-n Consistency
11%
Screening Consistency
9%
Screening Performance
9%
Sequence Effects
11%
Simulation Applications
22%
Simulation Study
43%
Size Control
11%
Step Model
9%
Structure Effect
45%
Test Statistic
22%
Testing Equality
11%
Time Series Decomposition
5%
Total Export
11%
Trace Test
45%
Trend Effects
22%
Trend Term
5%
Two-stage Procedure
9%
Ultra-high
9%
Ultrahigh Dimensional Covariates
45%
Univariate Case
11%
Unknown Covariance
11%
Unknown Period
5%
Variable Screening
9%
World Health
22%
Mathematics
Accurate Prediction
22%
Analysis of Variance
9%
Approximates
20%
Asymptotic Level
11%
Asymptotic Property
27%
Asymptotics
25%
B-Spline
9%
Cholesky's Decomposition
22%
Covariance Function
18%
Covariate
90%
Cross-Sectional Data
22%
Decomposition Method
22%
Eigenvalue
9%
Error Distribution
22%
Functional Data
100%
Heteroscedasticity
9%
Longitudinal Data
22%
MANOVA
90%
Matrix (Mathematics)
18%
Microbiome
22%
Model Set
22%
Null
29%
Outlier
22%
Parameter Estimation
9%
Permutation
20%
Real Data
11%
Simulation Study
52%
Statistical Modeling
45%
Test Statistic
20%
Testing Equality
11%
Univariate Case
11%